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Javad Velni

Professor

Office:   248 Fluor Daniel Building
Phone: (864) 656-0139
Fax: (864) 656-4435
Email: javadm@clemson.edu

Education

PhD, Mechanical Engineering, University of Houston, 2008
MS, Electrical Engineering, University of Tehran, Iran, 2002
BS, Electrical Engineering, Sharif University of Technology, Tehran, Iran, 1999

Research Interests

Learning-based control, Control of heterogeneous multi-agent systems, Connected and automated vehicles for highway and urban applications, AI-guided precision agriculture

Selected Publications

Bao, Y., & Mohammadpour Velni, J. (2022). Safe control of nonlinear systems in LPV framework using model-based reinforcement learning. International Journal of Control, 1-12.

Abbas, H. S., Tóth, R., Petreczky, M., Meskin, N., Mohammadpour Velni, J., & Koelewijn, P. J. (2021). LPV modeling of nonlinear systems: A multi‐path feedback linearization approach. International Journal of Robust and Nonlinear Control, 31(18), 9436-9465.

Mosharafian, S., Afzali, S., Weaver, G. M., van Iersel, M., & Mohammadpour Velni, J. (2021). Optimal lighting control in greenhouse by incorporating sunlight prediction. Computers and Electronics in Agriculture, 188, 106300.

Guo, L., Yang, B., Ye, J., Mohammadpour Velni, J., & Song, W. (2021). Attack-resilient lateral stability control for four-wheel-driven EVs considering changed driver behavior under cyber threats. IEEE Transactions on Transportation Electrification, 8(1), 1362-1375.

Moslemi, R., Mesbahi, A., & Mohammadpour Velni, J. (2021). A weighted graph‐based method for detection of data integrity attacks in electricity markets. IET Generation, Transmission & Distribution, 15(16), 2298-2308.

Gidon, D., Abbas, H. S., Bonzanini, A. D., Graves, D. B., Mohammadpour Velni, J., & Mesbah, A. (2021). Data-driven LPV model predictive control of a cold atmospheric plasma jet for biomaterials processing. Control Engineering Practice, 109, 104725.

Faryadi, S., & Mohammadpour Velni, J. (2021). A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles. International Journal of Intelligent Systems, 36(2), 1069-1084.

Davoodi, M., Faryadi, S., & Mohammadpour Velni, J. (2021). A graph theoretic-based approach for deploying heterogeneous multi-agent systems with application in precision agriculture. Journal of Intelligent & Robotic Systems, 101(1), 1-15.

Bao, Y., & Mohammadpour Velni, J. (2020). Data-driven linear parameter-varying model identification using transfer learning. IEEE Control Systems Letters, 5(5), 1579-1584.

Davoodi, M., & Mohammadpour Velni, J. (2020). Heterogeneity-aware graph partitioning for distributed deployment of multiagent systems. IEEE transactions on cybernetics.

Bao, Y., Mohammadpour Velni, J., & Shahbakhti, M. (2020). Epistemic uncertainty quantification in state-space LPV model identification using Bayesian neural networks. IEEE control systems letters, 5(2), 719-724.

Javad Velni